{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:05:27Z","timestamp":1775693127255,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031781858","type":"print"},{"value":"9783031781865","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78186-5_3","type":"book-chapter","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T14:18:21Z","timestamp":1732889901000},"page":"32-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A New Impressive and Expressive Features Based Model for Personality Traits Identification"],"prefix":"10.1007","author":[{"given":"Kunal","family":"Biswas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shivakumara","family":"Palaiahnakote","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sukalpa","family":"Chanda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Jun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,30]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.108024","volume":"241","author":"K Biswas","year":"2022","unstructured":"Biswas, K., Shivakumara, P., Pal, U., Chakraborti, T., Lu, T., Ayub, M.N.B.: Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images. Knowl.-Based Syst. 241, 108024 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Biswas, K., Shivakumara, P., Pal, U., Sarkar, R.: A new contrastive learning based model for estimating degree of multiple personality traits using social media posts. In: Asian Conference on Pattern Recognition, pp. 15\u201329 (2023)","DOI":"10.1007\/978-3-031-47637-2_2"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1016\/j.ins.2021.10.005","volume":"582","author":"FZ Canal","year":"2022","unstructured":"Canal, F.Z., et al.: A survey on facial emotion recognition techniques: a state-of-the-art literature review. Inf. Sci. 582, 593\u2013617 (2022)","journal-title":"Inf. Sci."},{"key":"3_CR4","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Guntuku, S., Lin, W., Carpenter, J., Keong, W., Lyle, H., Preo\u0163iuc-Pietro, D.: Studying personality through the content of posted and liked images on Twitter. In: Conference: ACM Web Science, p. 17 (2017)","DOI":"10.1145\/3091478.3091522"},{"key":"3_CR6","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Li, L., Zhu, H., Zhao, S., Ding, G., Lin, W.: Personality-assisted multi-task learning for generic and personalized image aesthetics assessment. IEEE Trans. Image Process. 29,3898\u20133910 (2020)","DOI":"10.1109\/TIP.2020.2968285"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Liu, L., Preotiuc-Pietro, D., Samani, Z.R., Moghaddam, M.E., Ungar, L.: Analyzing personality through social media profile picture choice. In: Proceedings of the International AAAI Conference on Web and Social Media, pp. 211\u2013220 (2016)","DOI":"10.1609\/icwsm.v10i1.14738"},{"key":"3_CR9","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv:1301.3781. (2013)"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: Global vectors for word representation. In: Proceedings of the EMNLP, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"3_CR11","volume":"25","author":"J Serrano-Guerrero","year":"2024","unstructured":"Serrano-Guerrero, J., Alshouha, B., Bani-Doumi, M., Chiclana, F., Romero, F.P., Olivas, J.A.: Combining machine learning algorithms for personality trait prediction. Egypt. Inf. J. 25, 100439 (2024)","journal-title":"Egypt. Inf. J."},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Thapa, L., Pandey, A., Gupta, D., Deep, A., Garg, R.: A framework for personality prediction for e-recruitment using machine learning algorithms. In: 2024 14th International Conference on Cloud Computing, Data Science and Engineering (Confluence), pp. 1\u20135. IEEE (2024)","DOI":"10.1109\/Confluence60223.2024.10463354"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Weiser, O., Blau, I., Eshet-Alkalai, Y.: How do medium naturalness, teaching-learning interactions and Students\u2019 personality traits affect participation in synchronous E-learning. Internet High. Educ. 37, 40\u201351 (2018)","DOI":"10.1016\/j.iheduc.2018.01.001"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Wu, H., et al.: CVT: introducing convolutions to vision transformers. In: Proceedings of the IEEE\/CVF CVPR, pp. 22\u201331 (2021)","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"3_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jretconser.2023.103299","volume":"72","author":"Z Xue","year":"2023","unstructured":"Xue, Z., Li, Q., Zeng, X.: Social media user behavior analysis applied to the fashion and apparel industry in the big data era. J. Retail. Consum. Serv. 72, 103299 (2023)","journal-title":"J. Retail. Consum. Serv."},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Zhao, S., Gao, Y., Jiang, X., Yao, H., Chua, T.-S., Sun, X.: Exploring principles-of-art features for image emotion recognition. In: Proceedings of the 22nd ACM International conference on Multimedia, pp. 47\u201356 (2014)","DOI":"10.1145\/2647868.2654930"},{"key":"3_CR17","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2022.839619","volume":"13","author":"X Zhao","year":"2022","unstructured":"Zhao, X., Tang, Z., Zhang, S.: Deep personality trait recognition: a survey. Front. Psychol. 13, 839619 (2022)","journal-title":"Front. Psychol."},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Zhu, H., Li, L., Zhao, S., Jiang, H.: Evaluating attributed personality traits from scene perception probability. Pattern Recogn. Lett. 116, 121\u2013126 (2018)","DOI":"10.1016\/j.patrec.2018.09.027"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78186-5_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T15:11:12Z","timestamp":1732893072000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78186-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,30]]},"ISBN":["9783031781858","9783031781865"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78186-5_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,30]]},"assertion":[{"value":"30 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}